Yuchen Cui

1.4k citations
36 papers · 567 · h-index 11

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Advanced Battery Materials and Technologies
    • Advancements in Battery Materials
    • Indoor and Outdoor Localization Technologies

Papers in

Yuchen Cui

34 papers receiving 555 citations

Peers

Yuchen Cui
Comparison fields: 5 of 96
  • Infectious Diseases 201
  • Electrical and Electronic Engineering 194
  • Animal Science and Zoology 33
  • Modeling and Simulation 13
  • Health 22
Replace Zhipeng Cai with:
Zhipeng Cai China
Dong-Keun Kim South Korea
Youchun Xu China
Zhifeng Lin China
Xiyu Yu China
V R Rajendran India
Sander Jansen Germany
Yusheng Fu China
Wenqiang Yan China
Yuchen Cui relative to Zhipeng Cai China Zhipeng Cai's profile →
Citations per field
00.5×11×
Zhipeng Cai · 1×
Citations per year

Countries citing papers authored by Yuchen Cui

Since Specialization
Citations

This map shows the geographic impact of Yuchen Cui's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yuchen Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuchen Cui more than expected).

Fields of papers citing papers by Yuchen Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuchen Cui. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yuchen Cui. The network helps show where Yuchen Cui may publish in the future.

Co-authors

The 25 scholars most cited alongside Yuchen Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yuchen Cui Line = papers co-authored together Yuchen Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022113
2 202284
3 201765
4 202256
5 202342
6 202333
7 201827
8 202421
9 202116
10 201515
11 201914
12 202410
13 202110
14 20159
15
Risk-Aware Active Inverse Reinforcement Learning
20186
16 20186
17 20225
18 20244
19 20234
20 20194

About Yuchen Cui

Yuchen Cui is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Infectious Diseases, Molecular Biology and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 567 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Advanced Battery Materials and Technologies (5 papers), Reinforcement Learning in Robotics (4 papers), Advancements in Battery Materials (4 papers), MXene and MAX Phase Materials (4 papers), Animal Virus Infections Studies (3 papers), Bacillus and Francisella bacterial research (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Infectious Diseases (201 citations), Electrical and Electronic Engineering (194 citations), Animal Science and Zoology (33 citations), Modeling and Simulation (13 citations) and Health (22 citations). Yuchen Cui has collaborated with scholars based in China, United States and France. Frequent co-authors include Shaochun Tang, Xiaoya Zhou, Xin Huang, Scott Niekum, Lulu Yang, Xiaoyu Zhao, Xun Wang, Pengfei Wang, Minghui Li and Jian He. Their work appears in journals such as ACS Applied Materials & Interfaces, Pathogens, Small, Chemical Engineering Journal and Horticulturae.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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